Cargando…
Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear
The increase in the proportion of elderly in Europe brings with it certain challenges that society needs to address, such as custodial care. We propose a scalable, easily modulated and live assistive technology system, based on a comfortable smart footwear capable of detecting walking behaviour, in...
Autores principales: | Aznar-Gimeno, Rocío, Labata-Lezaun, Gorka, Adell-Lamora, Ana, Abadía-Gallego, David, del-Hoyo-Alonso, Rafael, González-Muñoz, Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235668/ https://www.ncbi.nlm.nih.gov/pubmed/34205259 http://dx.doi.org/10.3390/e23060777 |
Ejemplares similares
-
A Clinical Decision Web to Predict ICU Admission or Death for Patients Hospitalised with COVID-19 Using Machine Learning Algorithms
por: Aznar-Gimeno, Rocío, et al.
Publicado: (2021) -
Changes in severity, mortality, and virus genome among a Spanish cohort of patients hospitalized with SARS-CoV-2
por: Aznar-Gimeno, Rocío, et al.
Publicado: (2021) -
Biomechanical implications of walking with indigenous footwear
por: Willems, Catherine, et al.
Publicado: (2017) -
Big Data and Machine Learning to Improve European Grapevine Moth (Lobesia botrana) Predictions
por: Balduque-Gil, Joaquín, et al.
Publicado: (2023) -
The effect of rollover footwear on the rollover function of walking
por: Forghany, Saeed, et al.
Publicado: (2013)